Overview

Dataset statistics

Number of variables8
Number of observations165
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.6 KiB
Average record size in memory71.8 B

Variable types

Numeric7
Categorical1

Dataset

DescriptionSample
Author고려대학교 세종산학협력단
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=KRUPVEDEP00000000001

Alerts

시도코드 is highly overall correlated with 평균 사교육비 and 5 other fieldsHigh correlation
평균 사교육비 is highly overall correlated with 시도코드 and 4 other fieldsHigh correlation
초등학교 사교육비 is highly overall correlated with 시도코드 and 4 other fieldsHigh correlation
중학교 사교육비 is highly overall correlated with 시도코드 and 4 other fieldsHigh correlation
고등학교 사교육비 is highly overall correlated with 시도코드 and 4 other fieldsHigh correlation
일반고등학교 사교육비 is highly overall correlated with 시도코드 and 4 other fieldsHigh correlation
시도명 is highly overall correlated with 시도코드High correlation

Reproduction

Analysis started2023-12-10 06:36:13.994987
Analysis finished2023-12-10 06:36:24.255425
Duration10.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년
Real number (ℝ)

Distinct10
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2013.5758
Minimum2009
Maximum2018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-10T15:36:24.423177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2009
5-th percentile2009
Q12011
median2014
Q32016
95-th percentile2018
Maximum2018
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.8800227
Coefficient of variation (CV)0.0014303026
Kurtosis-1.2223106
Mean2013.5758
Median Absolute Deviation (MAD)2
Skewness-0.040335348
Sum332240
Variance8.2945307
MonotonicityIncreasing
2023-12-10T15:36:24.691828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2014 17
10.3%
2015 17
10.3%
2016 17
10.3%
2017 17
10.3%
2018 17
10.3%
2009 16
9.7%
2010 16
9.7%
2011 16
9.7%
2012 16
9.7%
2013 16
9.7%
ValueCountFrequency (%)
2009 16
9.7%
2010 16
9.7%
2011 16
9.7%
2012 16
9.7%
2013 16
9.7%
2014 17
10.3%
2015 17
10.3%
2016 17
10.3%
2017 17
10.3%
2018 17
10.3%
ValueCountFrequency (%)
2018 17
10.3%
2017 17
10.3%
2016 17
10.3%
2015 17
10.3%
2014 17
10.3%
2013 16
9.7%
2012 16
9.7%
2011 16
9.7%
2010 16
9.7%
2009 16
9.7%

시도코드
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.727273
Minimum11
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-10T15:36:24.879190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q129
median41
Q345
95-th percentile50
Maximum50
Range39
Interquartile range (IQR)16

Descriptive statistics

Standard deviation10.439351
Coefficient of variation (CV)0.28423975
Kurtosis-0.13397286
Mean36.727273
Median Absolute Deviation (MAD)7
Skewness-0.74479128
Sum6060
Variance108.98004
MonotonicityNot monotonic
2023-12-10T15:36:25.105977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
11 10
 
6.1%
26 10
 
6.1%
50 10
 
6.1%
48 10
 
6.1%
47 10
 
6.1%
46 10
 
6.1%
45 10
 
6.1%
44 10
 
6.1%
43 10
 
6.1%
42 10
 
6.1%
Other values (7) 65
39.4%
ValueCountFrequency (%)
11 10
6.1%
26 10
6.1%
27 10
6.1%
28 10
6.1%
29 10
6.1%
30 10
6.1%
31 10
6.1%
36 5
3.0%
41 10
6.1%
42 10
6.1%
ValueCountFrequency (%)
50 10
6.1%
48 10
6.1%
47 10
6.1%
46 10
6.1%
45 10
6.1%
44 10
6.1%
43 10
6.1%
42 10
6.1%
41 10
6.1%
36 5
3.0%

시도명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
서울
 
10
부산
 
10
대구
 
10
인천
 
10
광주
 
10
Other values (12)
115 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울
2nd row부산
3rd row대구
4th row인천
5th row광주

Common Values

ValueCountFrequency (%)
서울 10
 
6.1%
부산 10
 
6.1%
대구 10
 
6.1%
인천 10
 
6.1%
광주 10
 
6.1%
대전 10
 
6.1%
울산 10
 
6.1%
경기 10
 
6.1%
강원 10
 
6.1%
충북 10
 
6.1%
Other values (7) 65
39.4%

Length

2023-12-10T15:36:25.328513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울 10
 
6.1%
충북 10
 
6.1%
제주 10
 
6.1%
경남 10
 
6.1%
경북 10
 
6.1%
전남 10
 
6.1%
전북 10
 
6.1%
충남 10
 
6.1%
강원 10
 
6.1%
부산 10
 
6.1%
Other values (7) 65
39.4%

평균 사교육비
Real number (ℝ)

HIGH CORRELATION 

Distinct100
Distinct (%)60.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean222945.45
Minimum155000
Maximum411000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-10T15:36:25.547038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum155000
5-th percentile167000
Q1187000
median213000
Q3245000
95-th percentile321000
Maximum411000
Range256000
Interquartile range (IQR)58000

Descriptive statistics

Standard deviation46786.523
Coefficient of variation (CV)0.20985637
Kurtosis1.9265617
Mean222945.45
Median Absolute Deviation (MAD)29000
Skewness1.2301546
Sum36786000
Variance2.1889787 × 109
MonotonicityNot monotonic
2023-12-10T15:36:26.131670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203000 6
 
3.6%
190000 5
 
3.0%
187000 4
 
2.4%
234000 4
 
2.4%
276000 3
 
1.8%
244000 3
 
1.8%
213000 3
 
1.8%
224000 3
 
1.8%
174000 3
 
1.8%
188000 3
 
1.8%
Other values (90) 128
77.6%
ValueCountFrequency (%)
155000 1
0.6%
157000 1
0.6%
158000 1
0.6%
162000 1
0.6%
163000 1
0.6%
164000 2
1.2%
165000 1
0.6%
167000 2
1.2%
168000 2
1.2%
171000 1
0.6%
ValueCountFrequency (%)
411000 1
0.6%
391000 1
0.6%
352000 1
0.6%
338000 1
0.6%
335000 1
0.6%
331000 1
0.6%
328000 2
1.2%
321000 2
1.2%
312000 1
0.6%
303000 1
0.6%

초등학교 사교육비
Real number (ℝ)

HIGH CORRELATION 

Distinct94
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219412.12
Minimum145000
Maximum365000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-10T15:36:26.409434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum145000
5-th percentile163600
Q1192000
median217000
Q3240000
95-th percentile289600
Maximum365000
Range220000
Interquartile range (IQR)48000

Descriptive statistics

Standard deviation38008.181
Coefficient of variation (CV)0.17322735
Kurtosis0.99911737
Mean219412.12
Median Absolute Deviation (MAD)25000
Skewness0.74428371
Sum36203000
Variance1.4446218 × 109
MonotonicityNot monotonic
2023-12-10T15:36:26.766819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203000 6
 
3.6%
217000 4
 
2.4%
204000 4
 
2.4%
191000 4
 
2.4%
188000 4
 
2.4%
218000 4
 
2.4%
163000 3
 
1.8%
252000 3
 
1.8%
216000 3
 
1.8%
284000 3
 
1.8%
Other values (84) 127
77.0%
ValueCountFrequency (%)
145000 2
1.2%
155000 1
 
0.6%
157000 1
 
0.6%
159000 1
 
0.6%
161000 1
 
0.6%
163000 3
1.8%
166000 1
 
0.6%
168000 1
 
0.6%
169000 2
1.2%
171000 2
1.2%
ValueCountFrequency (%)
365000 1
 
0.6%
341000 1
 
0.6%
305000 1
 
0.6%
304000 1
 
0.6%
300000 1
 
0.6%
299000 1
 
0.6%
296000 2
1.2%
291000 1
 
0.6%
284000 3
1.8%
283000 1
 
0.6%

중학교 사교육비
Real number (ℝ)

HIGH CORRELATION 

Distinct99
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean251678.79
Minimum183000
Maximum417000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-10T15:36:26.989913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183000
5-th percentile199200
Q1220000
median240000
Q3276000
95-th percentile333600
Maximum417000
Range234000
Interquartile range (IQR)56000

Descriptive statistics

Standard deviation43815.159
Coefficient of variation (CV)0.17409158
Kurtosis1.4151838
Mean251678.79
Median Absolute Deviation (MAD)27000
Skewness1.114295
Sum41527000
Variance1.9197681 × 109
MonotonicityNot monotonic
2023-12-10T15:36:27.245379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
223000 6
 
3.6%
213000 5
 
3.0%
228000 5
 
3.0%
226000 4
 
2.4%
291000 4
 
2.4%
217000 3
 
1.8%
247000 3
 
1.8%
202000 3
 
1.8%
225000 3
 
1.8%
273000 3
 
1.8%
Other values (89) 126
76.4%
ValueCountFrequency (%)
183000 1
 
0.6%
188000 1
 
0.6%
191000 1
 
0.6%
192000 1
 
0.6%
193000 1
 
0.6%
195000 2
1.2%
198000 1
 
0.6%
199000 1
 
0.6%
200000 1
 
0.6%
202000 3
1.8%
ValueCountFrequency (%)
417000 1
0.6%
415000 1
0.6%
370000 1
0.6%
355000 1
0.6%
349000 2
1.2%
340000 1
0.6%
335000 1
0.6%
334000 1
0.6%
332000 2
1.2%
326000 1
0.6%

고등학교 사교육비
Real number (ℝ)

HIGH CORRELATION 

Distinct111
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201224.24
Minimum105000
Maximum484000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-10T15:36:27.482293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum105000
5-th percentile117000
Q1140000
median196000
Q3233000
95-th percentile371000
Maximum484000
Range379000
Interquartile range (IQR)93000

Descriptive statistics

Standard deviation74572.387
Coefficient of variation (CV)0.37059345
Kurtosis1.5315345
Mean201224.24
Median Absolute Deviation (MAD)50000
Skewness1.2086848
Sum33202000
Variance5.5610409 × 109
MonotonicityNot monotonic
2023-12-10T15:36:27.769594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
225000 5
 
3.0%
206000 4
 
2.4%
130000 4
 
2.4%
135000 4
 
2.4%
127000 4
 
2.4%
202000 3
 
1.8%
131000 3
 
1.8%
141000 3
 
1.8%
198000 3
 
1.8%
158000 2
 
1.2%
Other values (101) 130
78.8%
ValueCountFrequency (%)
105000 1
0.6%
107000 1
0.6%
111000 1
0.6%
114000 1
0.6%
115000 2
1.2%
116000 2
1.2%
117000 2
1.2%
118000 2
1.2%
119000 1
0.6%
121000 1
0.6%
ValueCountFrequency (%)
484000 1
0.6%
445000 1
0.6%
417000 1
0.6%
385000 1
0.6%
383000 1
0.6%
377000 1
0.6%
374000 1
0.6%
372000 1
0.6%
371000 2
1.2%
361000 1
0.6%

일반고등학교 사교육비
Real number (ℝ)

HIGH CORRELATION 

Distinct120
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean239363.64
Minimum122000
Maximum566000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-10T15:36:28.022613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122000
5-th percentile145400
Q1172000
median232000
Q3276000
95-th percentile420800
Maximum566000
Range444000
Interquartile range (IQR)104000

Descriptive statistics

Standard deviation83088.778
Coefficient of variation (CV)0.34712364
Kurtosis1.6236164
Mean239363.64
Median Absolute Deviation (MAD)55000
Skewness1.218737
Sum39495000
Variance6.903745 × 109
MonotonicityNot monotonic
2023-12-10T15:36:28.288807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
174000 4
 
2.4%
175000 4
 
2.4%
169000 3
 
1.8%
240000 3
 
1.8%
185000 3
 
1.8%
268000 3
 
1.8%
171000 3
 
1.8%
167000 3
 
1.8%
285000 3
 
1.8%
269000 3
 
1.8%
Other values (110) 133
80.6%
ValueCountFrequency (%)
122000 1
0.6%
124000 1
0.6%
130000 1
0.6%
132000 1
0.6%
133000 1
0.6%
135000 1
0.6%
142000 2
1.2%
145000 1
0.6%
147000 1
0.6%
150000 2
1.2%
ValueCountFrequency (%)
566000 1
0.6%
518000 1
0.6%
470000 1
0.6%
436000 1
0.6%
433000 1
0.6%
429000 1
0.6%
427000 2
1.2%
421000 1
0.6%
420000 1
0.6%
411000 1
0.6%

Interactions

2023-12-10T15:36:22.899136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:15.963782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:17.467857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:18.621838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:19.777546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:20.812999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:21.790579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:23.007056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:16.599128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:17.608985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:18.754331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:19.954072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:20.941418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:21.926461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:23.170964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:16.793270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:17.774524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:18.923480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:20.119016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:21.103181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:22.107260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:23.324589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:16.926232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:17.926800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:19.135224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:20.263652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:21.223099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:22.306040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:23.462355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:17.040987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:18.074038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:19.275564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:20.426744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:21.356285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:22.460821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:23.597171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:17.175526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:18.253018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:19.422318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:20.557275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:21.477918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:22.600551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:23.770167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:17.341447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:18.465599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:19.646789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:20.700272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:21.661278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:22.770574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:36:28.457922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년시도코드시도명평균 사교육비초등학교 사교육비중학교 사교육비고등학교 사교육비일반고등학교 사교육비
기준년1.0000.0000.0000.0000.0000.0000.2920.253
시도코드0.0001.0001.0000.7510.6740.6740.7000.672
시도명0.0001.0001.0000.8220.7250.7950.7450.735
평균 사교육비0.0000.7510.8221.0000.8400.9410.8860.871
초등학교 사교육비0.0000.6740.7250.8401.0000.7570.9280.928
중학교 사교육비0.0000.6740.7950.9410.7571.0000.7700.783
고등학교 사교육비0.2920.7000.7450.8860.9280.7701.0000.979
일반고등학교 사교육비0.2530.6720.7350.8710.9280.7830.9791.000
2023-12-10T15:36:28.710847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년시도코드평균 사교육비초등학교 사교육비중학교 사교육비고등학교 사교육비일반고등학교 사교육비시도명
기준년1.000-0.0060.2730.1290.2670.4050.3670.000
시도코드-0.0061.000-0.657-0.535-0.524-0.696-0.7170.971
평균 사교육비0.273-0.6571.0000.9120.8890.9260.9050.495
초등학교 사교육비0.129-0.5350.9121.0000.7390.7390.7080.383
중학교 사교육비0.267-0.5240.8890.7391.0000.7890.7680.458
고등학교 사교육비0.405-0.6960.9260.7390.7891.0000.9860.398
일반고등학교 사교육비0.367-0.7170.9050.7080.7680.9861.0000.388
시도명0.0000.9710.4950.3830.4580.3980.3881.000

Missing values

2023-12-10T15:36:23.941913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:36:24.149258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

기준년시도코드시도명평균 사교육비초등학교 사교육비중학교 사교육비고등학교 사교육비일반고등학교 사교육비
0200911서울331000305000326000377000433000
1200926부산203000197000218000198000251000
2200927대구251000253000291000206000235000
3200928인천221000231000213000211000253000
4200929광주209000230000228000151000185000
5200930대전234000249000217000225000268000
6200931울산234000251000247000190000231000
7200941경기269000278000293000225000281000
8200942강원184000188000233000124000164000
9200943충북173000174000208000135000175000
기준년시도코드시도명평균 사교육비초등학교 사교육비중학교 사교육비고등학교 사교육비일반고등학교 사교육비
155201836세종288000262000334000311000323000
156201841경기321000282000332000385000429000
157201842강원205000189000255000188000215000
158201843충북244000225000291000236000307000
159201844충남187000177000202000191000222000
160201845전북209000196000245000201000239000
161201846전남190000191000220000166000210000
162201847경북214000204000264000190000227000
163201848경남226000223000226000233000262000
164201850제주232000215000282000218000255000